Want to hire Faiss developer? Then you should know!
How and where is Faiss used?
- Image Search: Finding similar images
- Recommendation Systems: Enhancing product recommendations
- Anomaly Detection: Identifying unusual patterns
- Search Engines: Improving search results
- Natural Language Processing: Enhancing text processing
- Video Analysis: Optimizing video content
Compare Junior, Middle, Senior, and Expert/Team Lead Faiss Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 1-2 years |
| $60,000 |
Middle | 3-5 years |
| $80,000 |
Senior | 6-8 years |
| $100,000 |
Expert/Team Lead | 9+ years |
| $120,000 |
Quick Facts about Faiss.
- Created in 2017 by Facebook Research.
- Deep learning projects love using Faiss.
- Requires basic knowledge of machine learning.
- PyTorch is its popular companion technology.
- Faiss can search 1 billion vectors in a second!
TOP Faiss Related Technologies
- C++ (Facebook, 2011)
- Python (Facebook, 2011)
- Java (Facebook, 2011)
- MATLAB (Facebook, 2011)
- Octave (Facebook, 2011)
What are top Faiss instruments and tools?
- Faiss: Facebook’s AI Similarity Search, 2017
- NGT: Navigable Small World Graphs, 2018
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Maria Lapko
Global Partnership Manager